VISTAS 1.14.0 (along with a full changelog) is now available for download on github. This release (now in Python!) finishes support for ENVISION data and visualization, adds support for GeoTIFF data, and makes a number of improvements and bug fixes.
Major features slated for the next release include zonal statistics, raster calculator, and a macOS build.
See the VISTAS Introduction (preliminary draft) for an Overview of VISTAS functionality and some sample visualizations. The VISTAS Workflow diagram might also be useful. VISTAS is still under active development, and we remind potential users that it is still a research prototype. Though ease of use is a high priority, we focus on functionality.
Minimum Requirements for running VISTAS:
1. Windows OS
2. OpenGL3.0 or greater
3. other? NIK? Taylor?
The most current release of (now old) C++ version VISTAS (1_12_0) on the VISTAS bitbucket site includes two new changes (vector flow visualization and additional timeline filtering). To install it, download (save file) to your computer. This 9.6 MB compressed zip file contains as its name the VISTAS version number, and includes the dll’s, png’s, shader codes, etc., as well as the exe you will need to run VISTAS.
You will also want to download VISTAS Sample Files, so you confirm that VISTAS runs properly. This ~125MB zip file contains a gridded VELMA file – need link to VELMA description and DEM with eco-hydrological data for the Chesapeake Bay and an ENVISION need link to ENVISION description shapefile with xxx data for the Big Wood Basin in Idaho. This zip file also contains README files describing each data set.
- the VISTAS QuickStartGuide gives you a feeling for what the system looks like. out of date – judy to update and move to a blogs…VISTAS media pdf
- the most recent documentation for VISTAS, labelled for version 1.9.0, is unchanged for the most recent release of VISTAS (1.10.1 and beyond). It is available in both Word documents and PDF. https://www.dropbox.com/sh/uo8itvsardxzodq/AAAVh7Cgb5kB97mlDGX9w22Qa?dl=0
- Some How-To videos –
https://www.dropbox.com/sh/4vqf734km05fzwf/AADdVEthqrTAgj9-aa-0nVj7a?dl=0the (same) videos on YouTube –
We are currently working to revise (2) above into the following components. These text-based tutorials will use the Mashell Watershed (Mt. Rainier, WA) VELMA data as examples, and focus on VELMA use cases. In 2, 4-8, we will illustrate the desired feature using the Mashel data set. With 3, and then 4-8, we will encourage new users to complete the exercise with their own data after they have used the sample data.
- Getting Started with VISTAS.
- Download and install the software,
- Guide to the GUI,
- A guided tour of VISTAS (and making sure the install worked): load sample data, set up a scene do a still visualization,
- Some ‘extra’ features: control color, exaggerating the terrain.
- Visualizing your own data with VISTAS. How to input data to VISTAS. Walk users through putting their own data into VISTAS and doing the same still visualization they did in (1). How to recognize a problem. For what data formats accepted, see Manual (this part of the manual, we will write).
- Time Series Animations. Visualization a series of Mashel visualizations (organized by time). Starting, stopping. Adding a 2D graph to the time series.
- Creating and exporting a movie.
- Side by side viewing 2 or more scenes. Synchronizing the two scenes (note issue with having one but not both scenes with exaggerated terrain). Multiple layers?
- Extras, such as interacting with the scene, viewing value at a cell, filtering, analytics.
After text-based tutorials are done, we will write a VISTAS Reference Manual, and suplement the VISTAS Visualization Examples (in the VISTAS Introduction) with an updated VISTAS Gallery.